Workable vs Eightfold AI (2026)

Workable

by Workable

Eightfold AI

by Eightfold AI

Pros

• ✓All three plans are publicly priced with both annual and monthly rates shown, and Standard, Premier and Enterprise are listed at 299, 599 and 719 per month on annual billing, so buyers can budget without a sales conversation for the plan itself.
• ✓An official MCP server at mcp.workable.com exposes 94 tools across 17 groups spanning the full hiring lifecycle plus HR operations, using streamable HTTP with OAuth2 and Dynamic Client Registration, so any MCP-compatible assistant can connect without manual credential setup.
• ✓Workable Agent is billed on AI credits rather than seats, at 1 credit per screening and 2 per passive candidate sourced, so the cost of autonomous sourcing scales with work done rather than headcount, and every paid account starts with 3,000 free credits.

Limitations

• ⚠Workable publishes no currency on its pricing page or in its terms, and its terms state that pricing may vary by billing country, so the figures above cannot be tied to a stated currency from public sources.
• ⚠The lightweight HR module is not full HCM. Teams needing succession planning, learning or workforce analytics will run Rippling (custom pricing) or Lattice ($4/mo billed annually) alongside it, and Standard covers only 1 to 20 employees before per-employee pricing applies.
• ⚠The 15-day free trial excludes Workable Agent, AI credits expire one year from purchase and are non-refundable, and bundles above 50,000 credits are quoted by sales rather than published.

Pros

• ✓Built AI-native on a deep-learning talent graph rather than bolted onto an ATS, so skills-based matching, internal mobility and AI interviewing rest on one foundation instead of separate add-ons.
• ✓FedRAMP Moderate authorized against 325+ NIST 800-53 controls, alongside ISO 42001, ISO 27001 and SOC 2 Type II, which is a materially deeper compliance posture than most talent platforms carry.
• ✓Publishes bias audit results under NYC Local Law 144 and states that identifiable customer data is never used to train its models, both unusually concrete commitments for AI-driven hiring.

Limitations

• ⚠Fully quote-only with no pricing page and no public rate at any tier, so buyers cannot size the investment without entering a sales process.
• ⚠Only Oracle is named publicly as a technology integration partner, with no integrations directory, no public API documentation and a login-gated developer site, so ATS and HRIS compatibility must be confirmed during discovery.
• ⚠AI quality scales with the volume of internal talent data, and Eightfold acknowledges that new customers see less differentiation early while models train on hiring history.